Machine Learning

Data generation When personal computers and wireless communications come to the world After that we becomes data generator. Every time each and every person generates data. when we are visiting any webpages, go to shopping malls, buy something's, post on social media etc.

Patterns on data Data have some pattern Using which machine can predict future. Not exact but he predict Approximation. Data are in random way.

Algorithm Sequence of instruction carried out to transform i/p to o/p. There is no any particular algorithm. We have no logic But we have data in random form. Using which we have To trained our model. Static line of coding: sorting algorithms Dynamic line of coding: machine learning

What is machine learning Its a procedure in which we program a computer so that It improves his performance on basis of past data or past Experience. it is dynamically programed Machine learning gives computer, the ability to perform New things using past data .

Applications Image detection. Facial recognition. B612 camera. Google search.

Human can does but how a robot can?

Types of ML. Works with labeled data Works with unlabeled data

linear Regression in supervised learning. Error = line value – point value.

We have to choose the best line Contains more no. of points.

Classification. Means Taking an input and map it to some category. X= true and False. X= male or female. Works on discrete data.

Clustering. Same types of data are in single cluster.

Neural Networks. Neuron: Term “neural” is derived from the human nervous system’s basic functional unit “neuron” or “nerve cells” which are present in brain. Neuron receives, processes and transmits information Through electrical and chemical signals.

Biological neuron: Synapses (axon terminal) Dendrites Axon Soma (cell body)

Neural Network Technique. Neural network technique is designed to perform the works which are performed in human brain by neuron. It able to perform like human brain. It takes one or more inputs, sum them and produce output.

Working of Neural Network.

Project on Machine Learning. Green: predicted value. Red : actual value.

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